3D liveness detection is an advanced technology in which verification is done to ensure that the person is physically present. It happens that people use several AI-generated images and videos which then leads to scamming.
Moreover, it can play a crucial role in performing various tasks in different sectors. Liveness detection is a technique that verifies that a person is alive and physically present in an image or a video. In this regard, 3D liveness verification proves to be an advanced technology because it verifies by capturing the 3D structure of the face in the video to confirm whether the person is physically present.
Importance of Security in Life
Safety and security are extremely important in one’s life. One should understand that not everybody is a well-wisher. Everybody has their own private life and in today’s context, there are many ways to invade one’s privacy. With time, scams and frauds are increasing and at the same time, cybersecurity is also evolving and introducing several ways to enhance better security levels.
Furthermore, there are many cases where people try to attempt a spoof but it can easily be detected by using the 3D face liveness detection method. This method can cover crucial features like biometric verification, two-factor authentication, duplicate account detection, user action confirmation, secure physical access, and document-free onboarding.
Where 3D Detection Method can be Applied?
This technology performs all the aspects of verification rapidly. And it is designed to verify the face or identity by using an advanced 3D capture. Besides, this 3D verification is being used all over the world in almost all organizations and industries such as:
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Finance
In banks, the verification method is enhanced and the transaction can only be made after the proper identification of the user. By enhancing the security systems in banks, a visible reduction in fraud is observed.
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Government Sectors
These sectors can also be seen using active detection methods for the verification of the users. By using the CNIC number of an individual, the departments can access all the information of the user and verify whether the person is real.
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E-commerce
E-commerce has also adopted this advanced liveness verification method. It helps make safe transactions by identifying the true identity of people.
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Social Networking
This method is used in social networking as well. A Plethora of scams recorded on social media and online platforms. This technology has proved to be the best to prevent scams on social networking platforms.
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Access to Offices and other Buildings
3D facial liveness detection is being used at the check-ins of offices and other buildings. This step can help identify the wrong person immediately.
How does it Work?
This advanced technology works by following different steps. These steps involve the sensing of different features of a person’s images or video. It focuses on all the minimalities of an individual’s image that a human eye can’t.
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3D Depth Sensing
This process focuses on numerous features of the image or a video such as the distance between a camera and a person, the distance between eyes and nose, and all the other measurements of the face. It also focuses on the depth of the eye sockets to identify whether the person is real or AI-generated.
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Imaging technology
In this step, the face has to go through different imaging lights. By using these structured lights, the face is detected from different angles. The real face has entirely different skin and texture while the fake face while immediately be detected.
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Machine Learning AI
Machine algorithms are designed in a way to detect certain patterns in an image or a video. It automatically evaluates movements like blinking and smiling on an individual’s face and verifies whether the face is real or AI-generated.
Conclusion:
In retrospect, a 3D liveness check is a perfect technology to verify the factuality of an individual. AI has come a long way to perform actions that are impossible for a human being. Unlike the human eye, AI can study the face of an individual involving the distance, texture, and size of each part. All these features have now made the verification method easy and more accurate.
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